论文标题
大胆地显示以前没人看过的东西：可视化多目标景观的仪表板
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
论文作者
论文摘要
同时可视化连续多目标优化问题（MOP）的决策和客观空间最近提供了了解其景观结构的关键贡献。为了推进这些最近的发现，我们以单个R包（Moplot）的形式编制了所有最新的可视化方法。此外，我们扩展了这些技术来处理三维决策空间，并提出了两种可视化数据点量的解决方案。这使得（首次可以说明三维拖把的景观结构）。 但是，使用上述框架创建这些可视化仍然存在于许多人的高障碍物后面，因为它需要R中的基本技能，以使任何用户能够使用Moplot创建和探索MOP景观，我们还提供仪表板，以通过互动式的互动式（网络互动）来计算各种常见benchmark的最新可视化（允许最先进的范围）。
Simultaneously visualizing the decision and objective space of continuous multi-objective optimization problems (MOPs) recently provided key contributions in understanding the structure of their landscapes. For the sake of advancing these recent findings, we compiled all state-of-the-art visualization methods in a single R-package (moPLOT). Moreover, we extended these techniques to handle three-dimensional decision spaces and propose two solutions for visualizing the resulting volume of data points. This enables - for the first time - to illustrate the landscape structures of three-dimensional MOPs. However, creating these visualizations using the aforementioned framework still lays behind a high barrier of entry for many people as it requires basic skills in R. To enable any user to create and explore MOP landscapes using moPLOT, we additionally provide a dashboard that allows to compute the state-of-the-art visualizations for a wide variety of common benchmark functions through an interactive (web-based) user interface.
